delivering real-time business value for healthcare

Delivering Real-Time Business Value for

Healthcare Providers SAP Business Suite Powered by SAP HANA

July 2013 Public

© 2013 SAP AG or an SAP affiliate company. All rights reserved. 2 Public

The real-time opportunity

Best-run healthcare facilities improve patient

outcomes by empowering providers to make better

decisions while managing costs through analysis and

control of business operations.

Anytime, anywhere access to electronic patient records

Productive collaboration among all parties

Insightful real-time data analysis

Innovative database and technology solutions


Becoming a patient-focused enterprise Align business operations with patient needs

Focus on coordination

between patients and

providers to drive higher

patient satisfaction and

better care

Manage cases, patient experience, and

referrer relations

Provide a secure platform for proactive

collaboration

Provide self-managed care and accessibility

to social networks

Analyze real-time

information to measure

and improve treatment

outcomes

Provide a single, accurate view of relevant,

contextual healthcare information

Provide real-time analysis for actionable

insight for continuous improvement

Maximize operational

efficiency, especially

financial performance

Control costs accurately, identify areas

creating value, set strategy effectively, and

address change confidently

Consolidate healthcare data from various

sources; provide unified analytics; transform

large volumes of data into actionable plans


SAP Business Suite powered by SAP HANA The next-generation business platform

Real-time business

In-memory

Business transactions

Digital

connections

Collaborative

business

Cloud Social

Big Data Mobile

One platform bringing it all together

Advanced analytics

Healthcare processes


Industry value map for healthcare providers Enabling the patient-focused enterprise

Patient Dialogue and Collaboration

Patient Relationship Management

Patient Flow and Movement

Personal Health Excellence

Securing Optimum Operations

Financial Performance Optimization

Healthcare Analytics

Clinical Delivery Innovation

Physician Relationship Management

Clinical Treatment and Care

Enterprise Healthcare Mobility

Technology

Solutions SAP HANA Platform

People and

Talent Core Human

Resources and Payroll Talent Management

Time and Attendance

Management

Workforce Planning

and Analytics

Finance Financial

Performance Management

Accounting and

Financial Close

Treasury and Financial

Risk Management

Collaborative Finance

Operations

Enterprise Risk and Compliance Management

Procurement Supplier Discovery and

Lifecycle Management

Strategic Sourcing and

Contracting

Procurement and Order

Collaboration

Collaborative Invoice

to Pay

IT Management Application Lifecycle

Management

IT Infrastructure

Management

IT Portfolio and Project

Management

IT Service

Management

IT Strategy and

Governance

Application Develop-

ment and Integration Enterprise Mobility Consumer Experience Data Management Analytics

Real Estate Lifecycle

Management


Industry value map for healthcare providers Enabling the patient-focused enterprise

Patient Dialogue and Collaboration

Patient Relationship Management

Patient Flow and Movement

Personal Health Excellence

Securing Optimum Operations

Financial Performance Optimization

Healthcare Analytics

Clinical Delivery Innovation

Physician Relationship Management

Clinical Treatment and Care

Enterprise Healthcare Mobility

Technology

Solutions SAP HANA Platform

People and

Talent Core Human

Resources and Payroll Talent Management

Time and Attendance

Management

Workforce Planning

and Analytics

Finance Financial

Performance Management

Accounting and

Financial Close

Treasury and Financial

Risk Management

Collaborative Finance

Operations

Enterprise Risk and Compliance Management

Procurement Supplier Discovery and

Lifecycle Management

Strategic Sourcing and

Contracting

Procurement and Order

Collaboration

Collaborative Invoice

to Pay

IT Management Application Lifecycle

Management

IT Infrastructure

Management

IT Portfolio and Project

Management

IT Service

Management

IT Strategy and

Governance

Application Develop-

ment and Integration Enterprise Mobility Consumer Experience Data Management Analytics

Real Estate Lifecycle

Management

Highest real-time

business value

for healthcare provider

1 2 3

4


Today

KPI improvements are high-level estimates and will have to be validated for each customer situation.

Patient flow and movement Manage patient care cost-effectively

Heterogeneous and complex IT

generating high TCO and silo view on

patient, treatment, and financial data

Massive quantities of patient, cost,

and claims data

Lack of details about different

services/facility hierarchy across

different locations to respond more

intelligently to trends in costs,

budgets, claims data

Simplify business processes with

immediate insight to action

Simplify IT by bringing together

analytics and transactions

Real-time visibility into performance

and resource productivity by

analyzing bed availability, patient

flow, and waiting times, enabling new

applications

Real-time transparency into every

aspect of the organization, supporting

activity-based costing and easy

identification of problems

Reduce business process

lag time

Improve

Optimize

operational

reporting

operational

efficiency

With SAP Business Suite on SAP HANA


Today


Clinical treatment and care Personalized patient treatment

Enormous amounts of data from

clinical and operational sources

Lack of patient orientation

Lack of consolidated access to

relevant patient and clinical

information

Need for efficient use of clinical

research and clinical trial results in

the treatment process

Access real-time information on

patient conditions and medical

knowledge to make the best clinical

decisions

Utilize the huge amount of structured

and unstructured data to improve

patient care and enable personalized

treatment

Leverage fast analysis and

simulations of clinical data and

research outcomes to achieve

optimal results

Enhance focus on patient

care

Speed

Optimize

response to

medical challenges

treatment

opportunities



Today


Healthcare analytics Business value for financial, clinical, operational, and managerial reporting


Improve service level

performance

Reduce

Minimize

month-end

closing time

operating costs

Risk of non-compliance due to

unfulfilled (overruns in) audits

A lot of data; decision-relevant

information not readily available

Data analysis not supported or

automated

Long-running batch jobs/reports

Time-intensive data analysis

Large number of time-consuming,

and non-value-added processes

required to access and provide

accurate, up-to-date information

Timely execution of compliance-

relevant validation tasks

Increased end-user satisfaction

(accurate, detailed, visualized, timely,

and actionable information)

Acceleration of key critical-path

processes and reports

Instant response time on most data

analysis queries

Elimination of workarounds and data

latencies

End-user data analysis through self-

service means


Today


Manage financial performance Business value for planning, budgeting, and forecasting

Planning performance limited to

OLAP, staged cubes for transactional

and master data

Data load performance is driven by

the amount of data extracted from

SAP Business Suite

Reporting, loading, and retraction

performance limits planning iterations

Drilldown within OLAP cube, and

drill-through to SAP Business Suite

and OLTP data within standard times

Seamless replication of master and

transactional data from SAP

Business Suite

Availability of more granular data to

support planning

Big Data challenge is negated, and

allows for faster extract and DSO

activation times

Iterative planning and real-time

simulation are supported through

improved performance

Improved performance for drilldown

(expand) and consolidation (collapse)

Fast drill-through and live view of

transactional data in SAP Business

Suite

cycle times and

manual effort


Improve service level

performance

Reduce

Minimize operating costs


Today


Manage financial performance Business value for profitability and cost analysis

Data latencies and process delays

impact the ability to react to issues

and opportunities

Lack of data depth and user self-

service affect internal decision

making

Long-running processes

Time-intensive data queries

Mostly manual data analysis

Substantial amount of time and effort

on processes that do not directly add

value

Suboptimal resource efficiency and

effectiveness

Timely execution of critical business

processes supports decision making

and increases the ability to act swiftly

(insight-to-action) in dynamic market

environments

Critical transactions and calculations

that run quickly

Instant response times on queries

Prebuilt analytics that automate the

data analysis process

Leaner processes from data capture

through data analysis

Increased productivity through

process-optimized analytics and

mobile support

Improve

Reduce

Minimize


service level

performance

operating costs

cycle times and

manual effort


Next step Business scenario recommendation and value discovery workshop

SAP offers a proven methodology and approach to

discover the customer-specific business

improvement areas and quantify value potential.

We suggest such a workshop with your

line-of-business and IT experts.

As starting point, we recommend a performance

and usage analysis of your current system.

© 2013 SAP AG or an SAP affiliate company. All rights reserved.

Thank you

Contact information:

Martin Kopp

Global VP Healthcare Providers

[email protected]

+49-6227-7-63516


Opportunities across the healthcare industry Rethinking information processing for genomic and medical data

Real-world examples in healthcare SAP HANA platform is well-suited to the specific needs of the healthcare industry, where much of the data is

unstructured. You can run natural-language processing and text analytics technology in conjunction with SAP

HANA to draw information from free-form text such as social media and electronic medical records. That

information can then be integrated with structured data sets for further analysis. Real-time data analysis will play

a critical role in driving new development in many medical models. In fact, leading companies across industry

segments are already seeing compelling benefits by putting new strategies and supporting technologies

in place.

Evidence-based medicine

Personalized medicine

Medical genetics

Medical device lifecycle

management


Supporting better healthcare decisions Evidence-based medicine

In a hospital like Charité,weseeanunendingstreamofdataeveryday.Andit’sofutmostimportance

that we collect this data – and filter and control it – and reuse it for patient care, or for teaching, or for

driving research. . . . In the medical field, it is critical that we move away from the flood of paper that is

overwhelming doctors today; that we continually move toward electronic data capture.

Prof. Dr. Karl Max Einhäupl, Chief Executive Officer, Charité

Observation and careful analysis of the evidence have always

been fundamental to medical advancement. But the scale has

changed. Now, massive amounts of internal and external data

must be consolidated and analyzed. This includes personal

electronic medical records and extensive findings from clinical

research.

Using huge sample sizes and more complete data sets, patterns

can be discovered that previously might have gone unnoticed.

Research institutions can use SAP HANA to conduct detailed

analyses of hundreds of thousands of patient cases, each

with hundreds of thousands of data points. And researchers

can gain answers in seconds rather than hours. The positive

outcomes include more time for research, better quality results,

and improved treatments for the future.


Supporting better healthcare decisions Personalized medicine

AOK wants to analyze patient data, prescription data, and insurance data to find patterns that increase

the likelihood of an illness later in life. You can then reach out to the insured right away and offer

preventive care.

Udo Patzelt, Requirements Management, AOK Systems

Medical advancements such as genetic testing and molecular diagnostics are fueling a greater focus on personalized medicine. A more predictive approach to treatment results in better preventive programs. The new standard may well be identifying and averting medical problems well before they arise. The result: healthier patients and the potential for significantly lower healthcare costs. Insurance providers worldwide are looking to offer personalized healthcare programs to large customer bases. Using SAP HANA platform can help identify patterns of illness through analysis of billions of diagnoses and massive amounts of other medical data. Using this insight to provide superior, affordable healthcare services will differentiate insurers from the competition. Individualized preemptive health programs can help clients avoid illness, while insurers can limit the need for expensive and sometimes unnecessary treatments.


Supporting better healthcare decisions Medical genetics

MKI wants to deliver advanced medical treatments to as many patients as possible by introducing real-

time, Big Data analysis into healthcare. . . . If we can deliver the analysis [of genome extraction] by the

end of the day before the patient leaves the hospital, this can revolutionize cancer treatment processes

in the future.

Yukihisa Kato, CTO and Director, Mitsui Knowledge Industries (MKI)

Full genome sequencing provides raw data on 6 billion letters of an individual’sDNA.It’snosurprisethatthefirsthumangenomeproject took more than 10 years to complete. Now the emphasis is on genome interpretation and the mining of that data for clinically actionable information. Researchers are comparing genome sequences among large sample groups to better understand target genetic markers. This could accelerate the development of treatmentsfordiseasessuchascancerandAlzheimer’s.

Life science companies offering genome analytic services are

integral to this effort. With SAP HANA, data that once took two

days to process can be analyzed in minutes. This can translate

into faster and more accurate diagnoses, better patient care with

fewer doctor visits, and expedited pharmaceutical discoveries with

lower development costs.


Supporting better healthcare decisions Medical device lifecycle management

Having data in a searchable format and being able to provide it in an ad hoc report is a game changer.

. . . We serve a patient every four seconds, there are seven million patients per year, so you can

imagine the huge amounts of unstructured text data we capture.

Brian Raver, Senior Manager – BI Strategy, Medtronic

Implanted medical devices can help extend and improve the quality of life. As a result, millions of patients receive devices such as artificial hips and implantable cardioverter defibrillators each year. Proactively managing these devices and analyzing their ongoing performance is critical to ensuring patient safety and mitigating potential risks. Monitoring and responding to patient feedback is an important part of product improvement.

Companies can use SAP HANA to analyze large amounts of

data in global customer service systems. This includes

multisource data acquisition and the ability to handle long,

unstructured data. For example, company analysts can work with

up to 15,000 characters in a single business warehouse object.